Retrieval of soil moisture using electromagnetic models and a Bayesian approach in view of the SAOCOM mission: Study on SARAT images in an agricultural site in Argentina

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The aim of this research is to examine the ability of an approach based on Bayesian inference to retrieve surface soil moisture in an experimental agricultural area located in the province of Córdoba, Argentina. Radar images from SARAT sensor were used, as well as measurements of biophysical paramet...

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Detalles Bibliográficos
Autores principales: Solorza, R., Notarnicola, C., Karszenbaum, H.
Formato: CONF
Materias:
Bayesian approach
Electromagnetic Models
SAR
SARAT
Soil Moisture
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_97814799_v_n_p739_Solorza
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_97814799_v_n_p739_Solorza
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spelling todo:paper_97814799_v_n_p739_Solorza2023-10-03T16:43:41Z Retrieval of soil moisture using electromagnetic models and a Bayesian approach in view of the SAOCOM mission: Study on SARAT images in an agricultural site in Argentina Solorza, R. Notarnicola, C. Karszenbaum, H. Bayesian approach Electromagnetic Models SAR SARAT Soil Moisture The aim of this research is to examine the ability of an approach based on Bayesian inference to retrieve surface soil moisture in an experimental agricultural area located in the province of Córdoba, Argentina. Radar images from SARAT sensor were used, as well as measurements of biophysical parameters in the field. Several implementations of the main algorithm were designed to evaluate their different capability to reproduce the ground data. The Bayesian inversion was performed based on electromagnetic model: the Integral Equation Model (IEM) for bare soil, and the Water Cloud Model (WCM) for vegetated fields. For bare soil, the results showed high sensitivity of the algorithms to the different roughness conditions of each plot, while for vegetated areas, the availability of field measurements limited the comparisons between the obtained maps and the in situ data. © 2013 IEEE. CONF info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_97814799_v_n_p739_Solorza
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Bayesian approach
Electromagnetic Models
SAR
SARAT
Soil Moisture
spellingShingle Bayesian approach
Electromagnetic Models
SAR
SARAT
Soil Moisture
Solorza, R.
Notarnicola, C.
Karszenbaum, H.
Retrieval of soil moisture using electromagnetic models and a Bayesian approach in view of the SAOCOM mission: Study on SARAT images in an agricultural site in Argentina
topic_facet Bayesian approach
Electromagnetic Models
SAR
SARAT
Soil Moisture
description The aim of this research is to examine the ability of an approach based on Bayesian inference to retrieve surface soil moisture in an experimental agricultural area located in the province of Córdoba, Argentina. Radar images from SARAT sensor were used, as well as measurements of biophysical parameters in the field. Several implementations of the main algorithm were designed to evaluate their different capability to reproduce the ground data. The Bayesian inversion was performed based on electromagnetic model: the Integral Equation Model (IEM) for bare soil, and the Water Cloud Model (WCM) for vegetated fields. For bare soil, the results showed high sensitivity of the algorithms to the different roughness conditions of each plot, while for vegetated areas, the availability of field measurements limited the comparisons between the obtained maps and the in situ data. © 2013 IEEE.
format CONF
author Solorza, R.
Notarnicola, C.
Karszenbaum, H.
author_facet Solorza, R.
Notarnicola, C.
Karszenbaum, H.
author_sort Solorza, R.
title Retrieval of soil moisture using electromagnetic models and a Bayesian approach in view of the SAOCOM mission: Study on SARAT images in an agricultural site in Argentina
title_short Retrieval of soil moisture using electromagnetic models and a Bayesian approach in view of the SAOCOM mission: Study on SARAT images in an agricultural site in Argentina
title_full Retrieval of soil moisture using electromagnetic models and a Bayesian approach in view of the SAOCOM mission: Study on SARAT images in an agricultural site in Argentina
title_fullStr Retrieval of soil moisture using electromagnetic models and a Bayesian approach in view of the SAOCOM mission: Study on SARAT images in an agricultural site in Argentina
title_full_unstemmed Retrieval of soil moisture using electromagnetic models and a Bayesian approach in view of the SAOCOM mission: Study on SARAT images in an agricultural site in Argentina
title_sort retrieval of soil moisture using electromagnetic models and a bayesian approach in view of the saocom mission: study on sarat images in an agricultural site in argentina
url http://hdl.handle.net/20.500.12110/paper_97814799_v_n_p739_Solorza
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AT notarnicolac retrievalofsoilmoistureusingelectromagneticmodelsandabayesianapproachinviewofthesaocommissionstudyonsaratimagesinanagriculturalsiteinargentina
AT karszenbaumh retrievalofsoilmoistureusingelectromagneticmodelsandabayesianapproachinviewofthesaocommissionstudyonsaratimagesinanagriculturalsiteinargentina
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